centerforassessment / sgp Goto Github PK

Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.

Home Page: https://sgp.io

License: Other

R 100.00%

student-growth-percentiles r student-growth-projections sgp sgp-analyses percentile-growth-projections quantile-regression cran

sgp's Introduction

SGP

Overview

The SGP Package is open source software built for the R software environment. The classes, functions and data within the SGP package are used to calculate student growth percentiles and percentile growth projections/trajectories using large scale, longitudinal assessment data. Quantile regression is used to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the derived coefficient matrices and show the percentile growth needed to reach future achievement targets.

Installation

From CRAN

To install the latest stable release of SGP from CRAN

> install.packages("SGP")

From Github

To install the development release of SGP from GitHub:

> devtools::install_github("CenterForAssessment/SGP")

Resources

Contributors

The SGP Package is crafted with ❤️ by:

We love feedback and are happy to answer questions.

References

Betebenner, D. W., VanIwaarden, A., Domingue, B., and Shang, Y. (2024). SGP: Student Growth Percentiles & Percentile Growth Trajectories.

R Core Team (2024). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

sgp's People

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sgp's Issues

Scale Scores for SGP_TARGET

Integrate SIMEX measurement error adjustment into studentGrowthPercentile

analyzeSGP - doSNOW

Need to specify the cluster type. Add this in as a "FOREACH_OPTIONS" or an additional "SNOW_TYPE", with a default to "SOCK" if unspecified (similar to doMC preshedule).

CRAN check notes

checking package namespace information ... NOTE
Namespace with empty importFrom: ‘reshape2’

checking installed package size ... NOTE
installed size is  7.8Mb
sub-directories of 1Mb or more:
data   6.9Mb

checking R code for possible problems ... NOTE
abcSGP: no visible binding for global variable ‘SGPstateData’
analyzeSGP: no visible binding for global variable ‘SGPstateData’
analyzeSGP: no visible global function definition for ‘clusterApplyLB’
analyzeSGP: no visible global function definition for ‘mclapply’
analyzeSGP : <anonymous>: no visible binding for global variable
‘SGPstateData’
baselineSGP: no visible binding for global variable ‘SGPstateData’
bubblePlot_Styles: no visible binding for global variable
‘SGPstateData’
bubblePlot_Styles : get.my.cutscore.year: no visible binding for global
variable ‘SGPstateData’
checkSGP: no visible binding for global variable ‘SGPstateData’
checksplineMatrix: no visible binding for global variable
‘SGPstateData’
combineSGP: no visible binding for global variable ‘SGPstateData’
combineSGP : get.target.arguments: no visible binding for global
variable ‘SGPstateData’
csemScoreSimulator: no visible binding for global variable
‘SGPstateData’
getAchievementLevel : get.cutscore.label: no visible binding for global
variable ‘SGPstateData’
getAchievementLevel : getAchievementLevel_INTERNAL: no visible binding
for global variable ‘SGPstateData’
getKnotsBoundaries: no visible binding for global variable
‘SGPstateData’
getKnotsBoundaries : <anonymous>: no visible binding for global
variable ‘SGPstateData’
getMaxOrderForProgression: no visible binding for global variable
‘SGPstateData’
getPercentileTableNames: no visible binding for global variable
‘SGPstateData’
getPreferredSGP: no visible binding for global variable ‘SGPstateData’
getTargetInitialStatus: no visible binding for global variable
‘SGPstateData’
getTargetSGP: no visible binding for global variable ‘SGPstateData’
getTargetSGPContentArea: no visible binding for global variable
‘SGPstateData’
getTargetScaleScore: no visible binding for global variable
‘SGPstateData’
getTargetScaleScore: no visible global function definition for
‘clusterApplyLB’
getTargetScaleScore : <anonymous>: no visible binding for global
variable ‘SGPstateData’
getTargetScaleScore: no visible global function definition for
‘mclapply’
getYearsContentAreasGrades: no visible binding for global variable
‘SGPstateData’
gofSGP : .goodness.of.fit: no visible binding for global variable
‘SGPstateData’
growthAchievementPlot: no visible binding for global variable
‘SGPstateData’
growthAchievementPlot : get.my.label: no visible binding for global
variable ‘SGPstateData’
growthAchievementPlot : create.long.cutscores: no visible binding for
global variable ‘SGPstateData’
growthAchievementPlot : piecewise.transform: no visible binding for
global variable ‘SGPstateData’
growthAchievementPlot : smoothPercentileTrajectory: no visible binding
for global variable ‘SGPstateData’
outputSGP : get.my.label: no visible binding for global variable
‘SGPstateData’
outputSGP : piecewise.transform: no visible binding for global variable
‘SGPstateData’
outputSGP: no visible global function definition for ‘randomNames’
prepareSGP: no visible binding for global variable ‘sgpData_LONG’
sqliteSGP: no visible binding for global variable ‘SGPstateData’
sqliteSGP : get.grade: no visible binding for global variable
‘SGPstateData’
sqliteSGP : get.year: no visible binding for global variable
‘SGPstateData’
startParallel: no visible global function definition for ‘clusterEvalQ’
startParallel: no visible global function definition for
‘clusterExport’
startParallel: no visible global function definition for ‘makeCluster’
stopParallel: no visible global function definition for ‘stopCluster’
studentGrowthPercentiles : .create.coefficient.matrices: no visible
global function definition for ‘mclapply’
studentGrowthPercentiles : .create.coefficient.matrices: no visible
global function definition for ‘parLapplyLB’
studentGrowthPercentiles : .simex.sgp: no visible binding for global
variable ‘SGPstateData’
studentGrowthPercentiles : .simex.sgp: no visible global function
definition for ‘mclapply’
studentGrowthPercentiles : .simex.sgp: no visible global function
definition for ‘parLapply’
studentGrowthPercentiles: no visible binding for global variable
‘SGPstateData’
studentGrowthPlot: no visible binding for global variable
‘SGPstateData’
studentGrowthPlot : get.my.cutscore.year: no visible binding for global
variable ‘SGPstateData’
studentGrowthPlot_Styles : create.long.cutscores.sgPlot: no visible
binding for global variable ‘SGPstateData’
studentGrowthPlot_Styles: no visible binding for global variable
‘SGPstateData’
studentGrowthProjections : .get.trajectories.and.cuts: no visible
binding for global variable ‘SGPstateData’
studentGrowthProjections: no visible binding for global variable
‘SGPstateData’
summarizeSGP: no visible binding for global variable ‘SGPstateData’
summarizeSGP : summarizeSGP.config: no visible binding for global
variable ‘SGPstateData’
summarizeSGP : summarizeSGP_INTERNAL: no visible global function
definition for ‘parLapply’
summarizeSGP : summarizeSGP_INTERNAL: no visible global function
definition for ‘mclapply’
testSGP: no visible global function definition for ‘detectCores’
visualizeSGP : get.max.order.for.progression: no visible binding for
global variable ‘SGPstateData’
visualizeSGP : get.gaPlot.iter: no visible binding for global variable
‘SGPstateData’
visualizeSGP: no visible binding for global variable ‘SGPstateData’
visualizeSGP: no visible global function definition for
‘clusterApplyLB’
visualizeSGP: no visible global function definition for ‘mclapply’
visualizeSGP : get.next.grade: no visible binding for global variable
‘SGPstateData’
visualizeSGP : get.my.label: no visible binding for global variable
‘SGPstateData’
visualizeSGP : piecewise.transform: no visible binding for global
variable ‘SGPstateData’
visualizeSGP: no visible global function definition for ‘randomNames’

(discovered during reshape2 revdep checks)

TOC Getting Started File Out of Date

Just a little thing as I am refreshing my memory with SGP. In the Getting Started file the Table of Contents (right nav) from Data Analysis down are anchor tags that don't resolve. That content is now in separate files.

Filename is:
/SGP-8906c2a/docs/articles/SGP.html

parallel.config consistency

Make all uses of parallel.config consistent across all functions and add to summarizeSGP

data.table 1.12.2 causes error in analyzeSGP

I fixed this by downgrading to data.table 1.12.0

Here is note from the 1.12.2 version. I suspect this is the reason.

:= no longer recycles length>1 RHS vectors. There was a warning when recycling left a remainder but no warning when the LHS length was an exact multiple of the RHS length (the same behaviour as base R). Consistent feedback for several years has been that recycling is more often a bug. In rare cases where you need to recycle a length>1 vector, please use rep() explicitly. Single values are still recycled silently as before. Early warning was given in this tweet. The 774 CRAN and Bioconductor packages using data.table were tested and the maintainers of the 16 packages affected (2%) were consulted before going ahead, #3310. Upon agreement we went ahead. Many thanks to all those maintainers for already updating on CRAN, #3347.

There's a test plot at the bottom of your vignette

It looks like you were testing out plotly, and left the test viz at the bottom of the Data Prep vignette. It's likely not bothering anyone, but I suspect you don't want it there.

https://sgp.io/articles/SGP_Data_Preparation.html:

# Plotly test

{r echo=FALSE, warning=FALSE, message=FALSE}
library(plotly)
p <- plot_ly(economics, x = ~date, y = ~unemploy / pop)
p

Provide functionality to export entire achievement test and score history for a given SGP

R Studio Version issue

What version of R Studio do I need to run the SGP package.
I know R SGP is 1.7.
While running "Demonstration script for 5 steps of the SGP Package" I'm getting issues with the R studio version.
Error Msg:
Error in analyzeSGP(Demonstration_SGP, sgp.percentiles = TRUE, sgp.projections = FALSE, :
could not find function "analyzeSGP"
In addition: Warning message:
R graphics engine version 12 is not supported by this version of RStudio. The Plots tab will be disabled until a newer version of RStudio is installed.

doParallel

Add doParallel as a backend for all parallelized function. Remove doSMP???

Issue with baselineSGP

I am having an issue running any kind of data through. State is Arizona and data is recent 2015 & 2016 formatted identical to DEMO data except where year and content area differ but I have matched them to what SGPState is looking for.
Error is:
Error in strsplit(names, "_") : non-character argument

I have tried expanded long format as seen in the demo data, as well as compressed based on minimum requirements discussed on the wiki.
I have attached the log.
SGP-1.7.0.0_2017-05-17.txt

centerforassessment / sgp Goto Github PK

sgp's Introduction

SGP

Overview

Installation

From CRAN

From Github

Resources

Contributors

References

sgp's People

Contributors

Stargazers

Watchers

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sgp's Issues

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